This repository contains a Ruby API client for the Datadog API. The code is generated using generator package.
Installing and using the API client library requires:
- Ruby 2.6+
The following steps will help you quickly start interacting with Datadog APIs using Ruby client.
-
Add the
datadog_api_clientgem to you Gemfile:source 'https://rubygems.org' gem 'datadog_api_client'
-
Install the gem with
bundle install -
(optional) You can configure site and authentication using environment variables or code block:
DatadogAPIClient.configure do |config| config.server_variables[:site] = 'datadoghq.eu' end
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Build the Ruby code into a gem:
gem build datadog_api_client.gemspec
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Install the gem locally:
gem install ./datadog_api_client-*.gem
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Add the following in the Gemfile:
gem 'datadog_api_client', :git => 'https://github.com/DataDog/datadog-api-client-ruby.git'
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Install the gem with
bundle install
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Create
example.rbscript (find inspiration on https://docs.datadoghq.com/api/) -
Include the Ruby code directly using
-Ias follows:ruby -Ilib example.rb
Please follow the installation instruction and execute the following Ruby code:
require 'datadog_api_client' api_instance = DatadogAPIClient::V1::IPRangesAPI.new begin result = api_instance.get_ip_ranges p result rescue DatadogAPIClient::APIError => e puts "Error when calling IPRangesAPI->get_ip_ranges: #{e}" endAuthenticate with the API by providing your API and Application keys in the configuration:
DatadogAPIClient.configure do |config| config.api_key = ENV['NON_STANDARD_NAME_FOR_DD_API_KEY'] config.application_key = ENV['NON_STANDARD_NAME_FOR_DD_APP_KEY'] endThis client includes access to Datadog API endpoints while they are in an unstable state and may undergo breaking changes. An extra configuration step is required to enable these endpoints:
DatadogAPIClient.configure do |config| config.unstable_operations[:'<api_version>.<unstable_operation_id>'] = true endwhere <unstable_operation_id> is the name of the method used to interact with that endpoint. For example: list_log_indexes, or get_logs_index
When talking to a different server, like the eu instance, change the server_variables on your configuration object:
config = DatadogAPIClient::Configuration.new config.server_variables[:site] = "datadoghq.eu" client = DatadogAPIClient::APIClient.new(config)If you want to disable GZIP compressed responses, set the compress flag on your configuration object:
config = DatadogAPIClient::Configuration.new config.compress = false client = DatadogAPIClient::APIClient.new(config)If you want to enable requests logging, set the debugging flag on your configuration object:
config = DatadogAPIClient::Configuration.new config.debugging = true client = DatadogAPIClient::APIClient.new(config)You can configure the client to use proxy by setting http_proxyaddr and http_proxyport keys on configuration object:
config = DatadogAPIClient::Configuration.new config.http_proxyaddr = '127.0.0.1' config.http_proxyport = '3128' client = DatadogAPIClient::APIClient.new(config)Several listing operations have a pagination method to help consume all the items available. For example, to retrieve all your incidents:
require "datadog_api_client" DatadogAPIClient.configure do |config| config.unstable_operations[:'v2.list_incidents'] = true end api_instance = DatadogAPIClient::V2::IncidentsAPI.new api_instance.list_incidents_with_pagination() do |incident| p incident.id endTo enable the client to retry when rate limited (status 429) or status 500 and above:
config = DatadogAPIClient::Configuration.new config.enable_retry = true client = DatadogAPIClient::APIClient.new(config)The interval between 2 retry attempts will be the value of the x-ratelimit-reset response header when available. If not, it will be :
(config.backoffMultiplier ** current_retry_count) * config.backoffBaseThe maximum number of retry attempts is 3 by default and can be modified with
config.maxRetriesIf you are interested in general documentation for all public Datadog API endpoints, checkout the general documentation site.
Developer documentation for supported endpoints and models is available in Github pages.
For contributing, checkout the development guide.